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Research Assistant – Biostatistics & Scientific Writing

  • Montreal, QC, Canada

$31.57 to $39.46 CAD / hour · Full-time

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Job details

Pay
$31.57 to $39.46 CAD / hour
Job type
Full-time
Working hours
37.5 hours per week
Posting language
English
Posted

Original job description

About Clinique OVO

Clinique OVO, a member of The Fertility Partners (TFP), is a leading fertility clinic providing comprehensive assisted reproductive technology and reproductive medicine services.

Research and innovation play an important role at Clinique OVO. Our R&D team is involved in a diverse portfolio of clinical and observational research projects, in collaboration with physicians, researchers, universities, and industry partners across Canada and internationally.

We are currently seeking a Research Assistant – Biostatistics & Scientific Writing to join our R&D team.

Position Overview

Reporting to the Director of R&D Operations, the successful candidate will actively contribute to a variety of research projects in the fields of fertility and reproductive medicine.

This position combines responsibilities in biostatistics, data analysis, and scientific writing. The successful candidate will work closely with members of the R&D team, physicians, and researchers to transform research data into meaningful scientific results and publications.

Key Responsibilities

Biostatistics & Data Analysis

  • Participate in the preparation and cleaning of research databases;
  • Conduct descriptive and inferential statistical analyses;
  • Perform statistical analyses according to the objectives and analysis plans of various research projects;
  • Contribute to the selection of appropriate statistical methods;
  • Interpret statistical results in collaboration with researchers and clinicians;
  • Prepare tables, figures, and statistical results for reports, abstracts, and manuscripts;
  • Ensure the quality and consistency of data and analyses.

Scientific Writing & Publications

  • Contribute to the preparation and writing of abstracts, posters, and scientific presentations;
  • Contribute to the preparation of manuscripts for submission to peer-reviewed journals;
  • Conduct literature searches and integrate relevant scientific evidence;
  • Review and format manuscripts and scientific documents;
  • Participate in the preparation and submission of abstracts and manuscripts to scientific conferences and journals;
  • Contribute to responses to reviewers' comments.

Research & Methodology

  • Participate in the design and development of research projects;
  • Contribute to the definition of study variables, endpoints, and analytical methods;
  • Participate in the preparation and review of research protocols and study documents;
  • Support retrospective, prospective, and multicentre research projects within the R&D team;
  • Contribute to multiple projects simultaneously and ensure timelines are met.

Collaboration & Project Support

  • Work closely with physicians, researchers, and members of the R&D team;
  • Participate in project meetings and present results when required;
  • Maintain clear and organized documentation of analyses and research activities;
  • Perform other related duties as required to support R&D activities.

Qualifications

  • Master's degree (MSc) in Biostatistics, Statistics, Epidemiology, Public Health, Biomedical Sciences, or a related field;
  • 2–5 years of experience in clinical or biomedical research is preferred;
  • Experience in data analysis and statistical methods;
  • Proficiency in at least one statistical software or programming language such as R, SAS, or Python;
  • Excellent scientific writing skills in English;
  • Strong ability to read, critically assess, and interpret scientific literature;
  • Excellent organizational skills and ability to manage multiple projects simultaneously;
  • Ability to work independently;
  • Excellent communication skills in both French and English;
  • Experience with scientific publications;
  • Experience in reproductive medicine, fertility, or clinical research is an asset;
  • PhD in biostatistics, epidemiology, or a related field is an asset.

The Ideal Candidate

We are looking for a curious, rigorous, and autonomous individual who is eager to work in a dynamic clinical research environment.

The ideal candidate combines strong quantitative and analytical skills with a genuine interest in scientific research and publication writing. They should be able to move from data analysis to interpretation of results and effectively communicate findings through scientific documents and publications.

Why Join Our R&D Team?

  • Dynamic and multidisciplinary clinical research environment;
  • Opportunity to contribute to a diverse range of research projects in fertility and reproductive medicine;
  • Direct collaboration with physicians and researchers;
  • Opportunity to develop expertise in research, biostatistics, and scientific writing;
  • Opportunity to contribute to scientific publications and research projects;
  • Opportunity to work as part of a growing R&D team.

Work Environment

  • Full-time position, Monday to Friday;
  • 37.5 hours per week;
  • Based at Clinique OVO in Montréal.

Clinique OVO is an equal opportunity employer committed to employment equity and diversity. We thank all candidates for their interest; however, only those selected for an interview will be contacted.

More about this job

Responsibilities

The Research Assistant will conduct biostatistical analyses, manage research databases, and interpret statistical results for clinical projects. Additionally, they will contribute to scientific writing, including the preparation of manuscripts, abstracts, and posters for peer-reviewed journals and conferences.

Requirements

Candidates must hold a Master's degree in Biostatistics, Statistics, Epidemiology, or a related field, with 2–5 years of experience in clinical or biomedical research. Proficiency in statistical software such as R, SAS, or Python and excellent scientific writing skills in English are required.

Skills

  • Biostatistics
  • Data analysis
  • Scientific writing
  • R
  • SAS
  • Python
  • Epidemiology
  • Clinical research
  • Statistical modeling
  • Literature review
  • Manuscript preparation
  • Research design
  • Data cleaning
  • Inferential statistics
  • Descriptive statistics
  • Reproductive medicine

Visa sponsorship

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Categories

  • Science & Research
  • Healthcare
  • Data & Analytics

Keywords

  • Biostatistics
  • Clinical Research
  • Scientific Writing
  • Data Analysis
  • R
  • SAS
  • Python
  • Epidemiology
  • Fertility
  • Reproductive Medicine
  • Research Protocols
  • Manuscripts
  • Abstracts
  • Statistical Methods
  • Data Cleaning
  • Inferential Statistics
  • Descriptive Statistics
  • Literature Search
  • Peer-reviewed Journals
  • Multicentre Research
  • Biomedical Sciences
  • Public Health
  • Research Design
  • Study Variables
  • Endpoints
  • Documentation
  • Quantitative Analysis
  • Clinical Trials
  • Observational Research
  • R&D

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